Big data and cloud computing are some of the technologies that have been well embraced worldwide. When big data and cloud computing technologies are well implemented, they can promote transformation and upgrading in various industries. To ensure successful implemntation of these technologies, the necessary talents must be present. Having top talents helps to ensure that there is mastery of the specific technology, which will most likely lead to its successful implementation. One of the methods that have proven to be successful in the selection of talents is the 3-F method. The 3-F methods help to select top talents all over the world. The brain gain index analysis is used to determine the top talents that are needed in a specific country. There are three steps that are used to calcite the brain gain index in the 3-F method. The first step involves determining the frequency of keywords in a specific field. This is done by using the most cited papers.
The second step involves using the web to find the top talents all over the world. The keywords used in the first step are still used to trace the top talents directly related to the specific keywords. The third step involves determining the brain index that will dictate if a certain country needs the top talents or not. Bibliometric is a method that is used to identify talents from all over the world. Big data and cloud computing are still evolving, which means that not all companies have implemented them, including companies in the United States. As earlier mentioned, for proper implementation of any technology, top talents are essential. Thus, the United States can use the bibliometric method to acquire top talents.